Genre
GAVEL: Generating Games Via Evolution and Language Models Graham T odd New York University Tandon Brooklyn, New York, USA gdrtodd Alexander G. Padula ETH Zurich Zurich, Switzerland apadula
Automatically generating novel and interesting games is a complex task.
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
However, the cross-client edges naturally exist among clients.
Aligning Model Properties via Conformal Risk Control
In this paper we consider an alternative strategy.
Global Structure-Aware Diffusion Process for Low-Light Image Enhancement
The code is publicly available at https://github.com/jinnh/GSAD.
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
Contrastive PhenoMolecular Retrieval, which consists of zero-shot molecular structure identification conditioned on phenomic experiments. We assess challenges in multi-modal learning of phenomics and molecular modalities such as experimental batch effect, inactive molecule perturbations, and encoding perturbation concentration.
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
Natural images captured by mobile devices often suffer from multiple types of degradation, such as noise, blur, and low light.
On the Robustness of Removal-Based Feature Attributions Chris Lin
In recent years, machine learning has shown great promise in a variety of real-world applications.
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective Zihan Luo
GNNs to mitigate the bias as well as boost their utility in an end-to-end manner.
